Literature DB >> 11410786

Development of terminal cancer prognostic score as an index in terminally ill cancer patients.

Y H Yun1, D S Heo, B Y Heo, T W Yoo, J M Bae, S H Ahn.   

Abstract

Cancer patients, families, clinicians, and health-policy administrators need accurate information about the prognosis of survival of terminally ill cancer patients. The aim of this study was to compare survival times and prognostic factors, and develop a new prognostic index for terminally ill cancer patients. This prospective study was performed on 91 patients with solid tumor, and therefore, no longer subjects of anti-cancer therapy. Association was sought between survival times and a range of clinical characteristics. The median survival time of 91 terminal cancer patients was 54.0 days. Univariate analysis showed that 11 factors provide statistically significant prognostic survival information. Multivariate analysis adjusted for the primary tumor site demonstrated that severe anorexia (aRR 1.95, 95% C.I. 1.24-3.05), severe diarrhea (aRR 3.49, 95% C.I. 1.10-11.05), and mild confusion (aRR 1.94, 95% C.I. 1.15-3.27) are independent negative predictors of survival. The Terminal Cancer Prognostic score (TCP score), which was based on three predictors proved to be a significant predictor. The TCP score might be a useful index for predicting survival.

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Year:  2001        PMID: 11410786     DOI: 10.3892/or.8.4.795

Source DB:  PubMed          Journal:  Oncol Rep        ISSN: 1021-335X            Impact factor:   3.906


  14 in total

1.  Survival prediction for terminally ill cancer patients: revision of the palliative prognostic score with incorporation of delirium.

Authors:  Emanuela Scarpi; Marco Maltoni; Rosalba Miceli; Luigi Mariani; Augusto Caraceni; Dino Amadori; Oriana Nanni
Journal:  Oncologist       Date:  2011-10-31

2.  Symptom clusters and prognosis in advanced cancer.

Authors:  Aynur Aktas; Declan Walsh; Lisa Rybicki
Journal:  Support Care Cancer       Date:  2012-02-24       Impact factor: 3.603

3.  Prospective comparison of prognostic scores in palliative care cancer populations.

Authors:  Marco Maltoni; Emanuela Scarpi; Cristina Pittureri; Francesca Martini; Luigi Montanari; Elena Amaducci; Stefania Derni; Laura Fabbri; Marta Rosati; Dino Amadori; Oriana Nanni
Journal:  Oncologist       Date:  2012-02-29

4.  EuroQol and survival prediction in terminal cancer patients: a multicenter prospective study in hospice-palliative care units.

Authors:  Sang Min Park; Myung Hee Park; Joo Hee Won; Kyoung Ok Lee; Wha Sook Choe; Dae Seog Heo; Si-Young Kim; Kyung Sik Lee; Young Ho Yun
Journal:  Support Care Cancer       Date:  2005-11-04       Impact factor: 3.603

5.  Prediction of survival in terminally ill cancer patients at the time of terminal cancer diagnosis.

Authors:  Yu Jung Kim; Su-Jung Kim; June Koo Lee; Won-Suk Choi; Jin Hyun Park; Hee Jun Kim; Sung Hoon Sim; Keun-Wook Lee; Se-Hoon Lee; Jee Hyun Kim; Dong-Wan Kim; Jong Seok Lee; Yung-Jue Bang; Dae Seog Heo
Journal:  J Cancer Res Clin Oncol       Date:  2014-05-04       Impact factor: 4.553

Review 6.  Prognostic factors in patients with recently diagnosed incurable cancer: a systematic review.

Authors:  Catherine A Hauser; Martin R Stockler; Martin H N Tattersall
Journal:  Support Care Cancer       Date:  2006-05-18       Impact factor: 3.603

7.  Predictors of inpatient mortality in an acute palliative care unit at a comprehensive cancer center.

Authors:  Ahmed Elsayem; Masanori Mori; Henrique A Parsons; Mark F Munsell; David Hui; Marvin O Delgado-Guay; Timotheos Paraskevopoulos; Nada A Fadul; Eduardo Bruera
Journal:  Support Care Cancer       Date:  2009-04-07       Impact factor: 3.603

8.  Variations in vital signs in the last days of life in patients with advanced cancer.

Authors:  Sebastian Bruera; Gary Chisholm; Renata Dos Santos; Camila Crovador; Eduardo Bruera; David Hui
Journal:  J Pain Symptom Manage       Date:  2014-04-14       Impact factor: 3.612

Review 9.  Prognostication of Survival in Patients With Advanced Cancer: Predicting the Unpredictable?

Authors:  David Hui
Journal:  Cancer Control       Date:  2015-10       Impact factor: 3.302

10.  Multidisciplinary Prognostication Using the Palliative Prognostic Score in an Australian Cancer Center.

Authors:  Ruwani Mendis; Wee-Kheng Soo; Diana Zannino; Natasha Michael; Odette Spruyt
Journal:  Palliat Care       Date:  2015-08-02
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